Comparison of robust M estimator, S estimator & MM estimator with Wiener based denoising filter for gray level image denoising with Gaussian noise
| Author(s) | : | Mr. Pratyaksh A Maru |
| Institution | : | Electronics and Communication Department, Dr. Jivraj Mehta Institute of Technology,Mogar, Anand, Gujarat, India. |
| Published In | : | Vol. 2, Issue 13 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In any image processing system denoising of images isan important step. The images can be corrupted by different noiseswith different levels. There are three types of noises available:impulse, Gaussian and Speckle noises with mixture of them. Manyalgorithms are proposed to remove salt & pepper (impulse) noise aswell as Gaussian noise. The Robust statistics based filter is alsoproposed to remove either impulse or Gaussian noise usingLorentian rho function based robust M estimator. In this paper weevaluate the performance of MM-estimator, S-estimator, Mestimator, median filter and Wiener filter based image Denoisingfilters for Gaussian noise. The Result shows that for Gaussiannoise wiener based filter gives good noise reduction compare toother.
Mr. Pratyaksh A Maru, “Comparison of robust M estimator, S estimator & MM estimator with Wiener based denoising filter for gray level image denoising with Gaussian noise”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.
